CN101439728B - Distributed train operation control system and control method - Google Patents
Distributed train operation control system and control method Download PDFInfo
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- CN101439728B CN101439728B CN2008102402649A CN200810240264A CN101439728B CN 101439728 B CN101439728 B CN 101439728B CN 2008102402649 A CN2008102402649 A CN 2008102402649A CN 200810240264 A CN200810240264 A CN 200810240264A CN 101439728 B CN101439728 B CN 101439728B
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Abstract
The invention discloses a distributed train running control system in the field of commanding and dispatching of the railway running train and a control method thereof. The technical scheme is as follows: the distributed train running control system comprises an execution layer, a section control layer, a line control layer and a railway network control layer from top to bottom; the adjacent layers have the mutual-communication function; the lower layer provides the processed state information for the upper layer; and the upper layer provides the control policy for the lower layer according to the processed state information. The distributed train running control method is as follows: after the control cycle is started, the corresponding knowledge base is searched according to the lower-layer information, the information of an intelligent agent which is adjacent to the layer and the upper-layer information; whether the corresponding control rules exist in the knowledge base or not is judged; if so, the control policy is made directly; if not, the learning control is carried out so as to control the rules; finally, the control policy is executed. In the invention, the ability limit and the real-time limit of the traditional running-train commanding system are overcome, and the flexibility, the real-time function and the optimal control of the running train are ensured.
Description
Technical field
The invention belongs to railways train operation command scheduling field, relate in particular to a kind of distributed train operation control system and control method.
Background technology
China automation of traffic control system nearly all is based on centralized control principle formation at present, in this system, control and decision-making capability and information processing capability all are concentrated in main frame, and the effect of each extension set just is responsible for detecting the state of each station equipment and the decision-making that enforcement is made by main frame.The performance of system will depend primarily on the ability and the usefulness of main frame, and each extension set is just finished the decision plan that main frame is assigned passively.This central control system has many defectives, under certain train flow, dominant discharge under the control area of this system or the certain control area all has a upper limit, and the big and bigger situation of train density in range of control, the decision-making of this system will be difficult to satisfy the requirement of real-time.Under this control structure, the theory of train operation adjustment and method are difficult to set up networking driving adjustment scheme all towards single line or double track railway at present.
Summary of the invention
The purpose of this invention is to provide a kind of distributed train operation control system and control method.Use big system layer and pass the thought that rank are optimized, utilize intelligent body Agent technology, set up distributed train operation control system; Simultaneously propose a kind of distributed train operation control method, in order to solving current rail train operation dispatch manage system system, under and the situation that train density is bigger big, can't satisfy the problem of the real-time of making a strategic decision in range of control based on this system.
Technical scheme of the present invention is, a kind of distributed train operation control system, it is characterized in that described system comprises 4 layers of execution levels, section key-course, circuit key-course, road network key-course from the bottom to top, has the ability of intercommunication mutually between the adjacent layer, lower floor provides the status information of handling for the upper strata, and the upper strata provides control policy for lower floor in view of the above; Wherein, execution level is made up of section equipment and station release-locking device; The section key-course is controlled intelligent body by section and is formed; The circuit key-course is controlled intelligent body by circuit and is formed; The road network key-course is controlled intelligent body by road network and is formed.
Described section is controlled intelligent body and is made up of communication module, first train operation control knowledge base, Coordination module, learner, behaviour decision making device.
Described circuit is controlled intelligent body and is made up of communication module, second train operation control knowledge base, Coordination module, learner, behaviour decision making device, human-computer interface module.
Described road network is controlled intelligent body and is made up of the 3rd train operation control knowledge base, learner, behaviour decision making device, human-computer interface module.
A kind of distributed train operation control method is characterized in that described method comprises the following steps:
Step 1: control cycle begins;
Step 2:, search corresponding knowledge base in conjunction with the harmony messages of the adjacent intelligent body of this layer and the control information of last layer simultaneously according to the train operating conditions and the facility information of lower floor's feedback;
Step 3: judge whether have the control corresponding rule in the corresponding knowledge base;
Step 4: if in the corresponding knowledge base control corresponding rule is arranged, then directly formulate control policy, jump to step 6 then according to the control law in the corresponding knowledge base;
Step 5: if do not have the control corresponding rule in the corresponding knowledge base, then enter the learning control process, the control corresponding rule is adjusted according to the result who learns;
Step 6: decision information is passed to the behaviour decision making device carry out control policy.
The present invention has overcome tradition based on the capabilities limits of the automation of traffic control system of centralized control principle formation and the shortcoming of real-time restriction, make each decision-making level in the system can make full use of related resource, when guaranteeing local adjustment alerting ability and promptness, taken into account overall optimal control again.
Description of drawings
Fig. 1 is the distributed train operation control system constructional drawing.
Fig. 2 is that section is controlled intelligent body structure figure.
Fig. 3 is that circuit is controlled intelligent body structure figure.
Fig. 4 is that road network is controlled intelligent body structure figure.
Fig. 5 is a distributed train operation control method diagram of circuit.
The specific embodiment
Below in conjunction with accompanying drawing, preferred embodiment is elaborated.Should be emphasized that following explanation only is exemplary, rather than in order to limit the scope of the invention and to use.
Fig. 1 is the distributed train operation control system constructional drawing.Among Fig. 1, it is four layers that distributed train operation control system is divided into, and is respectively from down to up: execution level, section key-course, circuit key-course, road network key-course.Wherein, execution level is made up of section equipment 104 and station release-locking device 105; The section key-course is controlled intelligent body Agent103 by section and is formed; The circuit key-course is controlled intelligent body Agent102 by circuit and is formed; The road network key-course is controlled intelligent body Agent101 by road network and is formed.Can communicate between the intelligent body Agent of adjacent layer, lower floor provides the status information of handling for the upper strata, and the upper strata provides control policy for lower floor in view of the above; Each key-course all has study, coordinates the ability of cooperation and decision-making; Intelligent body Agent in one deck conflicts, and when being difficult to collaborative work, just needs upper strata intelligence body Agent to interfere.
1) orlop is an execution level, does not have decision-making capability, comprises the various device directly related with train operation, finishes the control to train operation.
2) the section key-course comprises some sections and controls intelligent body Agent, is the bottom with decision-making capability, finishes the control of executive device in this section.
3) the circuit key-course is controlled intelligent body Agent by some circuits and is formed, and finishes the control that the train operation of this circuit is adjusted, and is responsible for coordination and the management between each intelligent body Agent in the section key-course simultaneously.
4) the road network key-course of the superiors is finished the train operation adjusting control to whole road network, is responsible for coordination and the management between each intelligent body Agent in the circuit key-course simultaneously.
Fig. 2 is that section is controlled intelligent body structure figure.Among Fig. 2, section is controlled intelligent body Agent and is had study, coordinates the ability of cooperation, decision-making.Mainly form: communication module, first train operation control knowledge base, Coordination module, learner, behaviour decision making device by 5 parts.
1) communication module is realized the communication between section control Agent and the circuit control Agent; The information of upper layer circuit being controlled Agent is delivered to first train operation control knowledge base;
2) Coordination module realizes that the coordination between Agent and the adjacent control Agent is mutual, and by communication module relevant information is delivered to first train operation control knowledge base;
3) stored a large amount of train operation regulation rules in the first train operation knowledge base, control policy has been sent at station and interval release-locking device;
4) adjacent control Agent provides relevant train running information and station section occupied information with the interval release-locking device in station for learner; The quantitative information that information that the learner basis receives and relevant experimental knowledge or study obtain is for the behaviour decision making device provides decision-making foundation;
5) foundation that provides according to learner of behaviour decision making device, the selection behavior, and carry out the control behavior by the control executive device.
Fig. 3 is that circuit is controlled intelligent body structure figure.Among Fig. 3, circuit is controlled intelligent body Agent and is comprised, communication module, second train operation control knowledge base, Coordination module, learner, behaviour decision making device, man-machine interface.
1) communication module is realized the communication between circuit control Agent and the road network control Agent; The information of overlying roaduay network control system Agent is delivered to second train operation control knowledge base.
2) Coordination module realizes that the coordination between Agent and the adjacent control Agent is mutual, and by communication module relevant information is delivered to second train operation control knowledge base.
3) stored a large amount of train operation regulation rules in second train operation control knowledge base, for the coordinated management between the section control Agent provides control policy.
4) adjacent control Agent and section control Agent provides train operation state information after the processing for learner; The quantitative information that information that the learner basis receives and relevant experimental knowledge or study obtain is for the behaviour decision making device provides decision-making foundation.
5) foundation that provides according to learner of behaviour decision making device, the selection behavior, and carry out the control behavior by the control executive device.
6) human-computer interface module can make circuit control Agent and dispatcher carry out alternately, for emergency situation, the dispatcher can directly send control decision to the behaviour decision making device, also can increase the train operation regulation rule, expand train operation and adjust knowledge base, Correction and Control strategy.
Fig. 4 is that road network is controlled intelligent body structure figure.Among Fig. 4, road network is controlled intelligent body Agent and is comprised the 3rd train operation control knowledge base, learner, behaviour decision making device, man-machine interface.
1) stored macroscopical train operation regulation rule in the 3rd train operation control knowledge base, for the coordinated management between the circuit control Agent provides control policy.
2) administration of operational lines Agent provides circuit and train running information after the processing for learner; The quantitative information that information that the learner basis receives and relevant experimental knowledge or study obtain is for the behaviour decision making device provides decision-making foundation.
3) foundation that provides according to learner of behaviour decision making device, the selection behavior, and carry out the control behavior by the control executive device.
4) human-computer interface module can make road network control Agent and dispatcher carry out alternately, for emergency situation, the dispatcher can directly send control decision to the behaviour decision making device, also can increase the train operation regulation rule, expand train operation and adjust knowledge base, Correction and Control strategy.
Fig. 5 is a distributed train operation control method diagram of circuit.Among Fig. 5, step 501: the beginning of expression control cycle.
Step 502:, search corresponding knowledge base in conjunction with the harmony messages of the adjacent intelligent body Agent of this layer and the control information of last layer simultaneously according to the train operating conditions and the facility information of lower floor's feedback.
Step 503: judge whether have the control corresponding rule in the corresponding knowledge base.
Step 504: if in the corresponding knowledge base control corresponding rule is arranged, then directly formulate control policy, jump to step 506 then according to the control law in the knowledge base;
Step 505: if do not have the control corresponding rule in the corresponding knowledge base, then enter the learning control process, the control corresponding rule is adjusted according to the result who learns.Wherein, concrete learning process is:
(1) sets an initial evaluation index Q for each control law
0, (Q
0Can be indexs such as the total late time minimum of train, the late several minimums of train, or a plurality of indexs be comprehensive).If M be can effective control law minimum value, promptly the adjustment strategy less than M can not be implemented.
(2) (section Agent: train quickens or slows down the Train Control rule of different levels Agent, stops or strategy such as operation.Circuit Agent: the control law of coordinating the train between the section.Road network Agent: coordinate the train regulation rule between the circuit) all produces an effect value V after the enforcement,, revise the critical for the evaluation of rule in view of the above, obtain Q in order to estimate the quality of this rule
1
(3) according to the Q after the enforcement of each adjustment strategy, choose the bigger current optimum regulation rule that is, offer the behaviour decision making device.
(4) if current Q
nMaxim less than M, that is to say the current control law that can implement of not having, need be to upper strata Agent repayment, by given new regulation rule of upper strata Agent and initial Q
0Value.
Step 506: decision information is passed to the behaviour decision making device carry out control policy.
The present invention replaces the automation of traffic control system that tradition constitutes based on the centralized control principle with distributed train operation control system, the capabilities limits of traditional train traffic control system and the restriction of real-time have been overcome, make each decision-making level in the system can make full use of related resource, when guaranteeing local adjustment alerting ability and promptness, taken into account overall optimal control again.
The above; only for the preferable specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, and anyly is familiar with those skilled in the art in the technical scope that the present invention discloses; the variation that can expect easily or replacement all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion with the protection domain of claim.
Claims (2)
1. distributed train operation control system, it is characterized in that described system comprises 4 layers of execution levels, section key-course, circuit key-course, road network key-course from the bottom to top, has the ability of intercommunication mutually between the adjacent layer, lower floor provides the status information of handling for the upper strata, and the upper strata provides control policy for lower floor in view of the above; Wherein, execution level is made up of section equipment and station release-locking device; The section key-course is controlled intelligent body by section and is formed; The circuit key-course is controlled intelligent body by circuit and is formed; The road network key-course is controlled intelligent body by road network and is formed;
Described section is controlled intelligent body and is made up of first communication module, first train operation control knowledge base, first Coordination module, first learner, the first behaviour decision making device;
Stored a large amount of train operation regulation rules in the described first train operation knowledge base, control policy has been sent at station and interval release-locking device;
Described circuit is controlled intelligent body and is made up of second communication module, second train operation control knowledge base, second Coordination module, second learner, the second behaviour decision making device, human-computer interface module;
Stored a large amount of train operation regulation rules in described second train operation control knowledge base, for the coordinated management between the section control Agent provides control policy;
It is that decision-making device, human-computer interface module are formed by the 3rd train operation control knowledge base, the 3rd learner, the third line that described road network is controlled intelligent body;
Stored macroscopical train operation regulation rule in described the 3rd train operation control knowledge base, for the coordinated management between the circuit control Agent provides control policy.
2. a distributed train operation control method is characterized in that described method comprises the following steps:
Step 1: control cycle begins;
Step 2:, search corresponding knowledge base in conjunction with the harmony messages of the adjacent intelligent body of this layer and the control information of last layer simultaneously according to the train operating conditions and the facility information of lower floor's feedback;
Step 3: judge whether have the control corresponding rule in the corresponding knowledge base;
Step 4: if in the corresponding knowledge base control corresponding rule is arranged, then directly formulate control policy, jump to step 6 then according to the control law in the corresponding knowledge base;
Step 5: if do not have the control corresponding rule in the corresponding knowledge base, then enter the learning control process, the control corresponding rule is adjusted according to the result who learns;
Step 6: decision information is passed to the behaviour decision making device carry out control policy.
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| CN2008102402649A CN101439728B (en) | 2008-12-18 | 2008-12-18 | Distributed train operation control system and control method |
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| CN2008102402649A CN101439728B (en) | 2008-12-18 | 2008-12-18 | Distributed train operation control system and control method |
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| CN101439728A CN101439728A (en) | 2009-05-27 |
| CN101439728B true CN101439728B (en) | 2011-01-19 |
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Families Citing this family (5)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN102236828A (en) * | 2010-04-21 | 2011-11-09 | 北京交通大学 | Modeling method for adjustment process of train operation plan |
| CN103425818B (en) * | 2013-07-05 | 2016-04-06 | 西安理工大学 | Based on the control method of distributed multi agent tower group anti-collision system |
| CN103523057B (en) * | 2013-10-14 | 2015-07-01 | 国电南瑞科技股份有限公司 | Method for preventing overhead line system overload in high-density train traveling |
| CN106672029B (en) * | 2016-11-29 | 2018-12-25 | 北京思维鑫科信息技术有限公司 | Control the method and device of train operation |
| CN107705557B (en) * | 2017-09-04 | 2020-02-21 | 清华大学 | Road network signal control method and device based on depth-enhanced network |
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